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A fault diagnosis method for high-speed trains based on semi-supervised few-shot learning
Special Issue on Autonomous Safety Assurance and Intelligent Operation and Maintenance of Rail Transit | 更新时间：2026-02-24

    • A fault diagnosis method for high-speed trains based on semi-supervised few-shot learning

    • “A new breakthrough has been made in the field of high-speed train fault diagnosis. Experts have proposed a diagnostic method based on semi supervised few sample learning, which uses a pseudo loss confidence mechanism to screen unlabeled samples, enhance model learning effectiveness, significantly improve fault recognition accuracy and generalization ability, and provide strong technical support for intelligent train operation and maintenance.”
    • Electric Drive for Locomotives   Issue 5, Pages: 73-83(2025)

    • DOI：10.13890/j.issn.1000-128X.2025.05.008    

      CLC： U292.91+4

    • Received：30 June 2025，

      Revised：2025-09-01，

      Published：10 September 2025

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  • WANG Hang, WU Yunpu, CHEN Jianhua, et al. A fault diagnosis method for high-speed trains based on semi-supervised few-shot learning[J]. Electric drive for locomotives,2025(5): 73-83. DOI：10.13890/j.issn.1000-128X.2025.05.008.

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